Add intro notebook to probability series #12
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akshayka
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Feb 3, 2025
akshayka
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Feb 3, 2025
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| ### Classical Probability | ||
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| The classical approach assumes: | ||
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| - All outcomes are equally likely | ||
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| - We can count all possible outcomes | ||
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| $P(Event) = \\frac{\\text{Favorable Outcomes}}{\\text{Total Outcomes}}$ | ||
| """, | ||
| "Empirical": """ | ||
| ### Empirical Probability | ||
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| Based on actual experiments/observations: | ||
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| $P(Event) = \\frac{\\text{Number of times event occurs}}{\\text{Total number of trials}}$ | ||
| """ |
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I am not convinced this is a helpful way to teach probability, especially since "classical probability" is a very limited view of what probability. Instead of calling this "classical probability" I have seen this explained as a special case where sample spaces have equally likely outcomes.
I will follow up with an alternative suggestion.
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Will wait for the relevant resource to be posted so that I can modify the contents of this notebook. Initially thought that this would give a very basic (idea) overview of how probability is largely split into 🤔
Co-authored-by: Akshay Agrawal <[email protected]>
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Kept it simple.